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Identification and Evaluation of biomarkers to detect bladder cancer
Details
Urinary Bladder Cancer (UBC) is the 5th most common cancer in the West. Continuous efforts have been made to develop non-invasive urine-based biomarkers with high sensitivity and specificity that would improve patients quality of life, costs and lower the number of cystoscopies. This can then be utilized as part of a multi-biomarker panel to develop a urine test for UBC diagnosis as a single marker is unable to replace current diagnostic invasive tools. Using a (LC-MS/MS) proteomic approach, 8 UBC and 1 normal bladder cell secretomes were analysed to identify secreted proteins that can be potential candidate biomarkers. phorbol 12-myristate 13-acetate (PMA; PKC activator was used to treat whole secretomes and investigate all proteins released by cells whereas secretomes that were treated with the broad-spectrum inhibitor, Marimastat underwent ultracentrifugation to focus on proteins being shedded. Protein quantification was based upon stable isotope labelling by peptide demethylation. Two methods were utilized to select candidate biomarkers: Human Protein Atlas and Ingenuity Pathway Analysis. EpCAM biology was also examined to see the effects of PMA and Marimastat on its ectodomain.
Autorentext
Hafsa is in the medical field and recently completed her Masters. She is continuing to pursue further studies to reach her ultimate vocation to become a Lecturer specialising in Oncology/Cancer and researcher. She is active in a number of organisations, charities and community associations in the UK and abroad.She is a writer, artist, poet and speaker.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Autor Hafsa W. Abbas
- Titel Identification and Evaluation of biomarkers to detect bladder cancer
- Veröffentlichung 13.02.2015
- ISBN 3659589403
- Format Kartonierter Einband
- EAN 9783659589409
- Jahr 2015
- Größe H220mm x B150mm x T16mm
- Gewicht 393g
- Genre Medizin
- Anzahl Seiten 252
- Herausgeber LAP LAMBERT Academic Publishing
- GTIN 09783659589409